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ComposeTransforms Objects

class ComposeTransforms()

Outputs the composition of each transformation passed in transforms

Brightness Objects

class Brightness()

Outputs the Brightness of each pixel in the image

__call__

 | __call__(img: Union[ImageType, np.ndarray]) -> np.ndarray

Arguments:

  • img Union[Image, np.ndarray] - Either a PIL image or numpy array with int8 values

Returns:

  • np.ndarray - Converted image.

Deleted Parameters:

  • pic PIL Image or numpy.ndarray - Image to be converted to tensor.

Saturation Objects

class Saturation()

Summary Outputs the saturation of each pixel in the image

__call__

 | __call__(img: Union[ImageType, np.ndarray]) -> np.ndarray

Arguments:

  • img Union[Image, np.ndarray] - Either a PIL image or numpy array with int8 values

Returns:

  • np.ndarray - (1,number_pixels) array for saturation values for the image

Resize Objects

class Resize()

Helper Transform to resize images.

Attributes:

  • size TYPE - Description

__call__

 | __call__(img: Union[ImageType, np.ndarray]) -> np.ndarray

Arguments:

  • img Union[ImageType, np.ndarray] - Description

Returns:

  • np.ndarray - Description

Hue Objects

class Hue()

__call__

 | __call__(img: Union[ImageType, np.ndarray]) -> np.ndarray

Arguments:

  • img Union[Image, np.ndarray] - Either a PIL image or numpy array with int8 values

Returns:

  • np.ndarray - (1,number_pixels) array for hue values for the image

SimpleBlur Objects

class SimpleBlur()

Simple Blur Ammount computation based on variance of laplacian Overall metric of how blurry is the image. No overall scale.

__call__

 | __call__(img: Union[ImageType, np.ndarray]) -> float

Arguments:

  • img Union[Image, np.ndarray] - Either a PIL image or numpy array with int8 values

Returns:

  • float - variance of laplacian of image.
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